Prisma AIRS API

Prisma AIRS offers a comprehensive suite of security use cases for AI applications and agents. It defends against Prompt Injection, preventing malicious manipulation of AI behavior by detecting and neutralizing adversarial prompts. To counter external risks, it identifies and blocks Malicious URLs embedded in AI outputs or inputs, safeguarding users from phishing or malware. For data integrity, Sensitive Data Loss detection prevents unauthorized exposure of confidential information, complemented by Mask Sensitive Data capabilities that redact or anonymize sensitive details in real-time, ensuring privacy and compliance. Security extends to critical infrastructure with Database Security Attack prevention, mitigating risks where AI interacts with databases, preventing SQL injection or other data breaches. The platform also filters Toxic Content, ensuring AI-generated or processed language is safe and appropriate, free from hate speech, harassment, or violence. Furthermore, it combats Malicious Code (e.g., Python, Javascript) that could be injected into AI workflows, preventing execution of harmful scripts. A significant focus is on AI Agent Threats, addressing unique vulnerabilities like cascading hallucinations, tool misuse, and memory manipulation inherent in autonomous AI agents. For enhanced AI reliability, Contextual Grounding ensures AI responses remain within defined factual boundaries, reducing factual errors or "hallucinations." Custom Topic Guardrails allow organizations to enforce specific content policies, preventing the AI from discussing undesirable or prohibited subjects. Lastly, Secure MCP (Model Context Protocol) provides a secure framework for managing and protecting the context and metadata exchanged between AI models and applications, crucial for maintaining AI integrity and preventing data tampering. These capabilities collectively aim to build secure, reliable, and compliant AI systems.